:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Zhang, Ethan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.15306
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Promising Capability to Pervasive Bias: Assessing Large Language Models for Emergency Department Triage
by: Lee, Joseph, et al.
Published: (2025)

Support Systems of Clinical Decisions in the Triage of the Emergency Department Using Artificial Intelligence: The Efficiency to Support Triage
by: Eleni Karlafti
Published: (2023)

How Does AI Improve Emergency Department Triage?
by: Rasit Dinc
Published: (2017)

Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments
by: Han, Seungjun, et al.
Published: (2024)

Validating Emergency Department Admission Predictions Based on Local Data Through MIMIC-IV
by: Meimeti, Francesca, et al.
Published: (2025)

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models
by: Khademi, Sedigh, et al.
Published: (2025)

VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection
by: Tang, Wenxin, et al.
Published: (2026)

EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department Triage
by: Young, Richard J., et al.
Published: (2026)

T2IBias: Uncovering Societal Bias Encoded in the Latent Space of Text-to-Image Generative Models
by: Sufian, Abu, et al.
Published: (2025)

An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations
by: Ahmed, Abdulaziz, et al.
Published: (2022)

Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations
by: Wong, Qi Han
Published: (2026)

BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
by: Blankenstein, Thierry, et al.
Published: (2025)

Uncovering Latent Chain of Thought Vectors in Language Models
by: Zhang, Jason, et al.
Published: (2024)

Fast Proxies for LLM Robustness Evaluation
by: Beyer, Tim, et al.
Published: (2025)

Uncovering the Latent Potential of Deep Intermediate Representations
by: Batra, Arnesh, et al.
Published: (2026)

Steering LLM Reasoning Through Bias-Only Adaptation
by: Sinii, Viacheslav, et al.
Published: (2025)

ProxyKV: Cross-Model Proxy Pruning for Efficient Long-Context LLM Inference
by: Li, Junjie, et al.
Published: (2026)

Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
by: Huang, Tianhao, et al.
Published: (2026)

Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures
by: Bley, Florian, et al.
Published: (2025)

Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning
by: Li, Miao, et al.
Published: (2026)

Uncovering the Spectral Bias in Diagonal State Space Models
by: Solozabal, Ruben, et al.
Published: (2025)

Syn-STARTS: Synthesized START Triage Scenario Generation Framework for Scalable LLM Evaluation
by: Hagiwara, Chiharu, et al.
Published: (2025)

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability
by: Wei, Chen, et al.
Published: (2025)

Predicting Elevated Risk of Hospitalization Following Emergency Department Discharges
by: Hong, Dat, et al.
Published: (2024)

Social Evolution of Published Text and The Emergence of Artificial Intelligence Through Large Language Models and The Problem of Toxicity and Bias
by: Khan, Arifa, et al.
Published: (2024)

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
by: Sun, Shuzhou, et al.
Published: (2025)

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
by: Sahay, Rishikesh, et al.
Published: (2026)

Internal Representation, Not Clinical Knowledge: Where Apparent LLM Triage Failures Originate
by: Navarro, David Fraile, et al.
Published: (2026)

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining
by: Shen, Yifan, et al.
Published: (2025)

Uncovering Political Bias in Large Language Models using Parliamentary Voting Records
by: Chen, Jieying, et al.
Published: (2026)

Predicting LLM Reasoning Performance with Small Proxy Model
by: Koh, Woosung, et al.
Published: (2025)

Uncovering Bias in Large Vision-Language Models with Counterfactuals
by: Howard, Phillip, et al.
Published: (2024)

Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
by: Chuang, Yun-Shiuan, et al.
Published: (2026)

Uncovering Implicit Bias in Large Language Models with Concept Learning Dataset
by: Wang, Leroy Z.
Published: (2025)

State-Augmented Graphs for Circular Economy Triage
by: Fox, Richard, et al.
Published: (2025)

Small Language Models for Emergency Departments Decision Support: A Benchmark Study
by: Wang, Zirui, et al.
Published: (2025)

UniCog: Uncovering Cognitive Abilities of LLMs through Latent Mind Space Analysis
by: Liu, Jiayu, et al.
Published: (2026)

Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores
by: Ramaswamy, Ashwin, et al.
Published: (2025)

Don't Start What You Can't Finish: A Counterfactual Audit of Support-State Triage in LLM Agents
by: Unlu, Eren
Published: (2026)

TriAgent: Automated Biomarker Discovery with Deep Research Grounding for Triage in Acute Care by LLM-Based Multi-Agent Collaboration
by: Delikoyun, Kerem, et al.
Published: (2025)